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Coding

Trading

Markets

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01 Our Focus 02 Libraries 03 Markets 04 Geographies 05 Concepts

01. Our Focus

Quant theory, Python practice and Trading implementation

Your Online educational and content platform focusing on applied coding and Python programming for quantitative finance and algorithmic trading.

Coding.

Attention to Detail

  • High-level concepts and academic rigor
  • Top notch codes and Python implementations made simple
  • Use of latest ML and LLM AI engines

Trading.

The Big Picture

  • Portfolio diversification and rebalancing
  • Bridging the gap between quant finance and capital markets
  • Algorithmic execution and Backtesting

Markets.

Connecting the Dots

  • Real world market data across asset classes
  • Proven trading ideas and portfolio optimization concepts
  • State of the art Quant Finance applications

02. Libraries

Best in Class Libraries

Key features

  • ✓

    Powered by industry-leading Python quantitative finance libraries

  • ✓

    Implementation of state-of-the-art frameworks for portfolio optimization and risk management

  • ✓

    Leveraging sophisticated codes for top-notch algorithmic trading applications

  • ✓

    Advanced models with seamless access to best-in-class machine learning and backtesting libraries

Access our curated data sets, code snippets, and concept reference guides.With the Python Quant Stack, we showcase everything you need to code confidently and trade smartly.

Quant Stack

Scikit-learn
PyTorch
TensorFlow
Alphalens
pyportfolios.com
V
QuantLib
Keras
Zipline
Riskfolio
pyportfolios.com

03. Markets

Instruments, Asset Classes and Sectors

Stock Exchanges
Americas
Nasdaq B3 BME TSX Bolsa Mexicana
Europe
Deutsche Borse Group Borsa Italiana Euronext
Asia/Australia
HKEX SSE BSE NSE Shenzhen Stock Exchange
Futures, Options, Derivatives and Commodities Exchanges
CME NYMEX CBOT CBOE
London Metal Exchange BME TSX
ASX

Asset classes

Equities [Stocks & Indices]

Fixed Income

FX

Commodities

Derivatives [Futures, Options]

Real Estate & Infra-structure

Crypto

Equities [Stocks & Indices]

Fixed Income

FX

Commodities

Derivatives [Futures, Options]

Real Estate & Infra-structure

Crypto

Sectors:

Energy, Healthcare, Industrials, Utilities, IT, Materials, Consumer Discretionary, Consumer Staples, Financials, Telecom, Real Estate

Country indices:

USA S&P500/NASDAQ100, Germany DAX, Australia S&P ASX200, France CAC40, South Korea KOSPI, UK FTSE100, Italy FTSE MIB, Japan NIKKEI 225, Canada S&P TSX, Spain IBEX 35, Brazil BOVESPA, China SSE COMP, India BSE 30, Mexico S&P/BMV IPC, Russia MOEX

04. Geographies

Examples include assets and securities from the top 15 largest economies and key developed and developing market

World Map
United States
China
Germany
Japan
India
United Kingdom
France
Italy
Russia
Canada
Brazil
Spain
Mexico
South Korea
Australia
Emerging Markets

05. Concepts

Applied Science. Empirical Studies. Invaluable Insights.

PYPORTFOLIOS
CONCEPTS
APPLIED SCIENCE & EMPIRICAL INSIGHTS FOR THE MODERN INVESTOR

RISK MANAGEMENT

VAR Value-at-Risk
CVAR Conditional Var
  • Monte Carlo Simulation
  • Time Series Analysis
  • Copulas

ALGORITHMIC TRADING

MA MA Crossover
BACKTEST Strategy metrics
  • Mean Reversion Strategies
  • Trend Following
  • Strategy Development

FINANCE FUNDAMENTALS

BSM Black-Scholes
GREEKS Option Risk
  • Bond Valuation & Duration
  • Yield to Maturity
  • Implied Volatility

TECHNOLOGY & AI

PYTHON Core Engine
ML/AI Deep Learning
  • Market Data Integration
  • Empirical Studies
  • High performance Computing

MARKET DATA CORE

30+ Exchanges
7 Asset Classes
15 Key Economies

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